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Nov 10Tue
  1. Hugging Face Daily Papers

    OneTrans-GSR: A generative ranking list paradigm, unifying re-ranking and hybrid sorting

    OneTrans-GSR generates unified recommendation ranking lists through a single autoregressive Transformer, improving business metrics and reducing re-ranking and hybrid sorting latency. After deployment in industrial recommendation systems, GMV/u increased by 2.63%, advertiser value increased by 2.06%, and repurchase rate increased by 2.03%, while end-to-end latency was reduced by 13%.

Nov 8Sun
  1. Hugging Face Daily Papers65

    VisSearch-Bench evaluates the performance of multimodal agents in long-term visual search

    VisSearch-Bench evaluated the performance of 16 multimodal models on 204 human-written visual search tasks that require integrating visual context with external information, with the results showing that the best system only fully solved 26.47% of the tasks. The benchmark covers 7 major areas, including set-based visual search and sequential visual search, and evaluates task completion and the correctness of reasoning steps through accuracy and process scoring.

Nov 3Tue
  1. Hugging Face Daily Papers65

    WeFair: Fidelity-Aware Alignment Technology Based on Human Feedback, Used for Personalized Query Rewriting in Short Video Search

    WeFair improves personalized query rewriting through a human feedback phase (demonstration, preference, and validation) based on fidelity perception, reducing intent drift and enhancing search effectiveness on short video platforms. This technology addresses the need for compact query rewriters in short video search, recovering user personalized intent from ambiguous queries under strict latency constraints. WeFair-2B outperforms strong rewriting baselines in overall accuracy and intent preservation in offline experiments, while online A/B testing shows a relative increase of 2.593% in effective video play rate and a relative decrease of 2.350% in query rewriting rate.

Oct 31Sat
  1. Epoch AI65

    Epoch AI analysis shows that the use of LLMs in preprints is as common as the use of professional AI tools

    Epoch AI analyzed 47,000 preprints on bioRxiv from January 2020 to September 2026 using GPT-5.6 Sol, finding that 15.5% admitted to using LLM, almost the same as the proportion of those who admitted to using professional AI tools (15.7%); OpenAI Decisions API, based on GPT-6 Luna, categorizes LLM usage into four major categories: research, code computation, writing, and literature review.

Oct 28Wed
Oct 27Tue
Oct 26Mon
  1. Hugging Face Daily Papers65

    UserArena: An Interactive User Simulation Benchmark for Long-Term Shopping Intelligent Agents

    UserArena introduces an e-commerce interaction benchmark containing 64,729 session trajectories, covering 11,010 users, 566,102 items, and 13 action types, supporting five-level evaluation; proposes On-Policy Trajectory Distillation technology to improve simulator fidelity, experiments show it works best under the UserArena evaluation protocol, closest to offline simulation effects of production strategies.

Oct 23Fri
  1. MarkTechPost38

    TinyFish releases technical guidelines for Agent search architecture used in production-level AI agents

    TinyFish releases technical guidelines for Agent search architecture used in production-level AI agents, whose system is based on four web basic components: TinySearch, TinyFetch, TinyBrowser, and TinyAgent. It achieves a 79.0% completion rate on coding tasks on OpenBenchmarks by running a seven-stage control loop around the base model, realizing the lowest median task cost of $0.050 and token footprint.

  2. Hugging Face Daily Papers75

    OpenDS-World: A benchmark for evaluating autonomous deep search agents in real network environments

    OpenDS-World introduces a real-time network benchmark to evaluate autonomous multi-step deep search agents, revealing a significant gap between cutting-edge models and human performance. Among 12 cutting-edge models, the best model achieved an accuracy of 39.0%, while 1000 human evaluations reached an accuracy of 21.1%. Analysis shows that research strategies vary among models, and tool coordination and long-term search management remain major challenges.

Oct 15Thu
  1. Apple Machine Learning Research

    Selection-Based Structured Reasoning: A framework for efficient multimodal search agents

    The Selection-Based Structured Reasoning (SSR) framework restructures reasoning into selection rather than open-ended generation, selecting the most likely solution from predefined reasoning candidates before each action, significantly reducing reasoning costs. Validated using 2B and 4B models on seven multimodal search benchmarks, SSR achieved average success rates comparable to leading search agents of the same scale, reducing single-step reasoning latency by 90% and total reasoning latency per task by 28-54%.

Sep 30Wed
  1. Cohere Blog75

    Cohere has launched RCP-nDCG@10: a more comprehensive retrieval relevance metric.

    Cohere has introduced RCP-nDCG@10, which calibrates AI judges to score each retrieved document, addressing the flaw of traditional nDCG@k that relies on manual annotations and leads to the omission of relevant results, to optimize next-generation search models. This metric combines document ranking and relevance evaluation, determining the actual relevance of each document through AI rather than relying solely on original annotations.

Jul 22Wed
  1. Prime Intellect Blog

    Prime Intellect Integrates 365,000+ Software Engineering, Terminal, and Search Environments for Agent Reinforcement Learning

    Prime Intellect integrates 23 agent task sets for software engineering, terminal, and search, providing a unified API, runtime/sandbox hooks, including approximately 198,000 software engineering tasks, 28,600 terminal tasks, and 137,600 search tasks. It decomposes the environment into three layers of task sets, sandbox, and runtime through verifiers v1, standardizes the scoring logic for different task sets, and provides 135,000 pre-built open-source task images.